This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
This repository is mainly for projects I have done under Udacity-Data-Analysis-Nanodegree.
Udacity online data analyst program prepares me for a career as a data analyst by helping me learn to clean and organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. I am developing proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) and SQL as I build a portfolio of projects .
Tips: For data science projects with python, I would recomend you to install numpy , pandas , scipy , scikit learn , matplotlib , seaborn thest basic libraries.
Subjects Covered:
In this project, I choose one of Udacity's curated datasets and investigate it using NumPy and pandas. I complete the entire data analysis process, starting by posing a question and finishing by sharing the findings. ( It may be better to place this section inside the readme of the project 1)
I was provided a dataset reflecting data collected from an experiment. I used statistical techniques to answer questions about the data and report my conclusions and recommendations in a report.
Subjects Covered:
Using Python, I gathered data from a variety of sources, assess its quality and tidiness, then clean it. I documented the wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python and SQL.By using AB Testing and regression methods to decide if the company should launch a new webpage or keep the old one.
Subjects Covered:
Collect data from different sources and assess data visually and programmatically , clean data for visulizing data and finding insights later.
Subjects Covered:
Data visualization to a dataset involving the characteristics of diamonds and their prices.
In this project, I used Python’s data visualization tools to systematically explore the bike dataset for its properties and relationships between variables. Then, I created a presentation that communicates the findings to others.